Shailza Jolly

According to our database, Shailza Jolly authored at least 12 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Building Natural Language Generation and Understanding Systems in Data Constrained Settings.

Shailza Jolly

PhD thesis, 2023

2022

Generating Fluent Fact Checking Explanations with Unsupervised Post-Editing.

Shailza Jolly, Pepa Atanasova, Isabelle Augenstein

Inf., 2022

GEMv2: Multilingual NLG Benchmarking in a Single Line of Code.

Sebastian Gehrmann, Abhik Bhattacharjee, Abinaya Mahendiran, Alex Wang, Alexandros Papangelis, Aman Madaan, Angelina McMillan-Major, Anna Shvets, Ashish Upadhyay, Bingsheng Yao, Bryan Wilie, Chandra Bhagavatula, Chaobin You, Craig Thomson, Cristina Garbacea, Dakuo Wang, Daniel Deutsch, Deyi Xiong, Di Jin, Dimitra Gkatzia, Dragomir R. Radev, Elizabeth Clark, Esin Durmus, Faisal Ladhak, Filip Ginter, Genta Indra Winata, Hendrik Strobelt, Hiroaki Hayashi, Jekaterina Novikova, Jenna Kanerva, Jenny Chim, Jiawei Zhou, Jordan Clive, Joshua Maynez, João Sedoc, Juraj Juraska, Kaustubh D. Dhole, Khyathi Raghavi Chandu, Laura Perez-Beltrachini, Leonardo F. R. Ribeiro, Lewis Tunstall, Li Zhang, Mahima Pushkarna, Mathias Creutz, Michael White, Mihir Sanjay Kale, Moussa Kamal Eddine, Nico Daheim, Nishant Subramani, Ondrej Dusek, Paul Pu Liang, Pawan Sasanka Ammanamanchi, Qi Zhu, Ratish Puduppully, Reno Kriz, Rifat Shahriyar, Ronald Cardenas, Saad Mahamood, Salomey Osei, Samuel Cahyawijaya, Sanja Stajner, Sébastien Montella, Shailza Jolly, Simon Mille, Tahmid Hasan, Tianhao Shen, Tosin P. AMahidewumi, Vikas Raunak, Vipul Raheja, Vitaly Nikolaev, Vivian Tsai, Yacine Jernite, Ying Xu, Yisi Sang, Yixin Liu, Yufang Hou

CoRR, 2022

Search and Learn: Improving Semantic Coverage for Data-to-Text Generation.

Shailza Jolly, Zi Xuan Zhang, Andreas Dengel, Lili Mou

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics.

Sebastian Gehrmann, Tosin P. Adewumi, Karmanya Aggarwal, Pawan Sasanka Ammanamanchi, Aremu Anuoluwapo, Antoine Bosselut, Khyathi Raghavi Chandu, Miruna-Adriana Clinciu, Dipanjan Das, Kaustubh D. Dhole, Wanyu Du, Esin Durmus, Ondrej Dusek, Chris Emezue, Varun Gangal, Cristina Garbacea, Tatsunori Hashimoto, Yufang Hou, Yacine Jernite, Harsh Jhamtani, Yangfeng Ji, Shailza Jolly, Dhruv Kumar, Faisal Ladhak, Aman Madaan, Mounica Maddela, Khyati Mahajan, Saad Mahamood, Bodhisattwa Prasad Majumder, Pedro Henrique Martins, Angelina McMillan-Major, Simon Mille, Emiel van Miltenburg, Moin Nadeem, Shashi Narayan, Vitaly Nikolaev, Rubungo Andre Niyongabo, Salomey Osei, Ankur P. Parikh, Laura Perez-Beltrachini, Niranjan Ramesh Rao, Vikas Raunak, Juan Diego Rodriguez, Sashank Santhanam, João Sedoc, Thibault Sellam, Samira Shaikh, Anastasia Shimorina, Marco Antonio Sobrevilla Cabezudo, Hendrik Strobelt, Nishant Subramani, Wei Xu, Diyi Yang, Akhila Yerukola, Jiawei Zhou

CoRR, 2021

EaSe: A Diagnostic Tool for VQA based on Answer Diversity.

Shailza Jolly, Sandro Pezzelle, Moin Nabi

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

2020

Leveraging Visual Question Answering to Improve Text-to-Image Synthesis.

Stanislav Frolov, Shailza Jolly, Jörn Hees, Andreas Dengel

CoRR, 2020

P ≈ NP, at least in Visual Question Answering.

Shailza Jolly, Sebastian Palacio, Joachim Folz, Federico Raue, Jörn Hees, Andreas Dengel

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Can Pre-training help VQA with Lexical Variations?

Shailza Jolly, Shubham Kapoor

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Data-Efficient Paraphrase Generation to Bootstrap Intent Classification and Slot Labeling for New Features in Task-Oriented Dialog Systems.

Shailza Jolly, Tobias Falke, Caglar Tirkaz, Daniil Sorokin

Proceedings of the 28th International Conference on Computational Linguistics, 2020

2018

The Wisdom of MaSSeS: Majority, Subjectivity, and Semantic Similarity in the Evaluation of VQA.

Shailza Jolly, Sandro Pezzelle, Tassilo Klein, Andreas Dengel, Moin Nabi

CoRR, 2018

How do Convolutional Neural Networks Learn Design?

Shailza Jolly, Brian Kenji Iwana, Ryohei Kuroki, Seiichi Uchida

Proceedings of the 24th International Conference on Pattern Recognition, 2018